The Netherlands

 TNO is the research organisation of applied sciences in the Netherlands with more than 3000 researchers and staff. At national, EU and international level, TNO has been very active in a large number of EU research projects for many years and involved in ETCP, ETPIS and EPBD Buildings Platform. As an independent organisation, TNO performs R&D for governments, the SME sector, large industrial companies, service providers, and non-governmental organisations.

TNO develops and implements innovative knowledge in 9 units, including ‘Buildings, Infrastructure and Maritime’, ‘Information & Communication Technology’ and ‘Energy’. TNO innovation is geared towards better design of construction, management, renovation and maintenance processes, as well as the use of sustainable materials. In innovation areas of energy, TNO is the leading actor in the development of technologies and methods that will enable an energy-producing built environment aligned with ‘2020’ and ‘2015’ goals by smart use of sustainable energy sources. At the district scale, TNO promotes intelligent energy networks (smart grids) and works towards the creation of reliable energy supplies to replace fossil fuels, particularly by increasing the share of sustainable decentralised energy generation, like solar and wind energy, green gas, biogas and syngas.

The physics team at TNO brings to the project its large experience and expertise in energy efficient buildings, indoor climate, HVAC systems, building physics, building modelling and simulation, building related control algorithms and monitoring, including knowledge on self-learning and artificial intelligence, big data analyses together with economic consequences. Through the current international and national projects TNO brings immense knowledge on retrofitting of dwellings and its effect on users, owners and designers of buildings together with state of the art knowledge on control, sustainable energy and HVAC.

Contribution to tasks in the project:

  • Responsible for the usage of so called digital twins of buildings for optimising the performance of buildings with respect to energy consumption, comfort/health and maintenance.
  • Calculating the energy flexibility margin of buildings. For this, models will be used to calculate the amount that building can shift their energy demand (for heating/cooling/ventilation) in time without causing discomfort to end users. This functionality is crucial when optimizing the energy demand of areas of buildings.
  • Maximizing the usage of renewable energy, by shifting the energy demand of heating/cooling/ventilation to timeslots where enough renewable energy is expected (again,
    without causing discomfort to users.
  • Improving indoor environment: Using detailed models for learning the optimal ventilation strategies of buildings.
  • Optimizing users satisfaction by a better understanding of building dynamics and inclusion of e.g. weather forecast and user behaviour forecast.
  • Relating the digital twins to financial models to see the impact of design decisions from a financial perspective.
  • Bringing developed technologies and innovations to market adoption and implementation through developing suitable business models and connecting them to relevant financing opportunities.

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